Interactive visualization with pltly in R + use of pacman to start R coding

• Load and install required libraries automatically if needed

# instal pacman package if needed
if (!require("pacman")) install.packages("pacman")

## Loading required package: pacman

# now load and install other packages for your script
pacman::p_load(tidyverse,plotly,
               dplyr)

• use a built-in r dataset for practice

#define the built in dataset as an r object for ease of use
df = mtcars

head(df)

##                    mpg cyl disp  hp drat    wt  qsec vs am gear carb
## Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
## Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
## Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
## Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
## Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
## Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1

# convert rownames to a column
df$categories = rownames(df)

• interactive bar chart with plotly r: Value of mpg variable over different Categories

fig <- plot_ly(df, 
               x = ~categories, y = ~mpg, 
              type = 'bar', name= 'mpg variable'
        )
fig1 <- fig %>% 
  layout(title = "mtcar data explorations 1") 

fig1

• order bar chart: interactive chart & order on x axis category factors

fig <- plot_ly(df, 
               x = ~categories, y = ~mpg, 
              type = 'bar', name= 'mpg variable'
        )

fig2 <- fig %>% layout(title = "mtcars data exploration",
                       xaxis = list(title = "",
                      categoryorder = "total descending"),
                      yaxis = list(title = "")) 

fig2

• two bar charts in one: interactive bar chart, multiple categories